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Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study

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Enabling AI Applications in Data Science

Part of the book series: Studies in Computational Intelligence ((SCI,volume 911))

Abstract

IoT based applications such as smart healthcare, transportation, surveillance etc. lead to more convenient and healthy lifestyle to human being nowadays. Biosensors sense health vitals and send acquired data to cloud server for processing. These huge sensory health data need to be processed and analyzed efficiently and intelligently for knowledge extraction with high accuracy and low resource requirements. Here comes the inevitable role of artificial intelligence, machine learning and deep learning. Here a comprehensive study and analysis on application of IoT and AI in smart healthcare has been done to present recent developments in this emerging research domain supported with few case studies. Issues and challenges in dealing with big health data applying data science and data analytics have also been highlighted. Case studies help to get insight in recent developments on drug discovery, chronic disease prediction such as heart disease, kidney related ailments etc. applying ML, DL.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, India

    Sohail Saif & Suparna Biswas

  2. Department of Computer Science, St. Xavier’s College (Autonomous), Kolkata, India

    Debabrata Datta

  3. Department of Information Technology, Techno Main Salt Lake, Kolkata, West Bengal, India

    Anindita Saha

  4. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Sohail Saif & Chandreyee Chowdhury

Authors
  1. Sohail Saif
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  2. Debabrata Datta
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  3. Anindita Saha
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  4. Suparna Biswas
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  5. Chandreyee Chowdhury
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Corresponding author

Correspondence to Suparna Biswas .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Mohamed Hamed N. Taha

  3. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Nour Eldeen M. Khalifa

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Saif, S., Datta, D., Saha, A., Biswas, S., Chowdhury, C. (2021). Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study. In: Hassanien, AE., Taha, M.H.N., Khalifa, N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_19

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